Artificially intelligent ejection fraction determination
a technology of ejection fraction and determination method, which is applied in the field of systolic function of the heart, can solve the problems of delayed treatment of patients, inaccurate ejection fraction measurement method, and inability to pump all of the blood out of each ventricl
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[0013]Embodiments of the invention provide for artificially intelligent ejection fraction determination. In accordance with an embodiment of the invention, different sets of cardiac imaging data in the form of different video clips are acquired of the ventricle, left, right or both, for different hearts and a known ejection fraction corresponding to each of the sets is associated with the sets. The sets are then supplied as training input to a neural network with respect to the associated ejection fractions so as to train the neural network. In this regard, the sets are supplied as training input to the neural network in connection with a particular modality utilized to acquire the video clips, such as ultrasound echocardiography, CT or MRI, along with an indication of a particular type of view presented in each of the video clips, for instance parasternal long and short axis, apical two, three, four and five chamber and sub-coastal views. The neural network as trained may then be s...
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